Modelling flooding due to runoff from spoil heaps during heavy rainfall
dc.contributor.author | Bedford, MD | |
dc.contributor.author | Foster, PJ | |
dc.contributor.author | Gibson, MJ | |
dc.contributor.author | Chen, AS | |
dc.date.accessioned | 2022-12-21T09:21:11Z | |
dc.date.issued | 2022-11-15 | |
dc.date.updated | 2022-12-20T16:02:34Z | |
dc.description.abstract | Flash floods generated by runoff from abandoned spoil heaps have posed great risks to neighbouring areas but there has been little study on the process, so it is difficult to evaluate the effectiveness of runoff retention or detention measures. These events are likely to become more frequent in a future climate change scenario. To provide a means by which interested parties can study such events, including methods of mitigation, a computer modelling approach is proposed using free open-source software. Unlike conventional tools that solve the shallow water equations, the software tool uses a cellular automata approach to reduce the computational overhead. It is also easy to use so it is suitable for use by practitioners who are not hydrology experts. The method is illustrated by modelling a historical flood in the UK involving spoil heap runoff. Good correlation was observed between the characteristics of the actual and simulated flood event. | en_GB |
dc.description.sponsorship | Research Fund for Coal and Steel | en_GB |
dc.description.sponsorship | Engineering and Physical Sciences Research Council | en_GB |
dc.format.extent | 1-10 | |
dc.identifier.citation | Vol. 131, No. 4, pp. 239-248 | en_GB |
dc.identifier.doi | https://doi.org/10.1080/25726668.2022.2143645 | |
dc.identifier.grantnumber | 847250 | en_GB |
dc.identifier.grantnumber | EP/H015736/1 | en_GB |
dc.identifier.uri | http://hdl.handle.net/10871/132069 | |
dc.identifier | ORCID: 0000-0003-0130-2169 (Bedford, Michael D) | |
dc.identifier | ORCID: 0000-0003-3708-3332 (Chen, Albert S) | |
dc.identifier | ScopusID: 57193002441 (Chen, Albert S) | |
dc.identifier | ResearcherID: E-2735-2010 (Chen, Albert S) | |
dc.language.iso | en | en_GB |
dc.publisher | Taylor and Francis / Institute of Materials, Minerals and Mining / Australasian Institute of Mining and Metallurgy | en_GB |
dc.rights | © 2022 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. | en_GB |
dc.subject | Spoil | en_GB |
dc.subject | flooding | en_GB |
dc.subject | simulation | en_GB |
dc.subject | cellular automata | en_GB |
dc.subject | climate change | en_GB |
dc.subject | extreme weather | en_GB |
dc.subject | abandoned mines | en_GB |
dc.subject | flood mitigation | en_GB |
dc.title | Modelling flooding due to runoff from spoil heaps during heavy rainfall | en_GB |
dc.type | Article | en_GB |
dc.date.available | 2022-12-21T09:21:11Z | |
dc.identifier.issn | 2572-6668 | |
dc.description | This is the final version. Available from Taylor & Francis via the DOI in this record. | en_GB |
dc.identifier.eissn | 2572-6676 | |
dc.identifier.journal | Mining Technology | en_GB |
dc.relation.ispartof | Mining Technology, 131(4) | |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | en_GB |
dcterms.dateAccepted | 2022-10-30 | |
rioxxterms.version | VoR | en_GB |
rioxxterms.licenseref.startdate | 2022-11-15 | |
rioxxterms.type | Journal Article/Review | en_GB |
refterms.dateFCD | 2022-12-21T09:17:49Z | |
refterms.versionFCD | VoR | |
refterms.dateFOA | 2022-12-21T09:21:14Z | |
refterms.panel | B | en_GB |
refterms.dateFirstOnline | 2022-11-15 |
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Except where otherwise noted, this item's licence is described as © 2022 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.